CN106770394B - The three-dimensional appearance of metal welding seam internal flaw and the lossless detection method of stress characteristics - Google Patents

The three-dimensional appearance of metal welding seam internal flaw and the lossless detection method of stress characteristics Download PDF

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CN106770394B
CN106770394B CN201710083408.3A CN201710083408A CN106770394B CN 106770394 B CN106770394 B CN 106770394B CN 201710083408 A CN201710083408 A CN 201710083408A CN 106770394 B CN106770394 B CN 106770394B
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welding
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metal welding
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CN106770394A (en
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龙江启
管倩倩
黄文浩
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Wenzhou University
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Wenzhou University
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N23/00Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00
    • G01N23/02Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material
    • G01N23/06Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material and measuring the absorption
    • G01N23/18Investigating the presence of flaws defects or foreign matter
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass

Abstract

The invention discloses a kind of three-dimensional appearance of metal welding seam internal flaw and the lossless detection methods of stress characteristics, the detection method is to combine X ray computer layer scanning technology and finite element analysis technology, it can be under conditions of not destroying test specimen, detect three-dimensional appearance, the stress characteristics of dissimilar metal welding line inner void defect, this method can also obtain the spatial distribution of dissimilar metal welding line inner void defect, pore volume, porosity and pore-size distribution Evolution, and the topological performance in hole, such as connectivity, the information such as tortuosity;Its detection process includes sample preparation, is scanned to tests exemplar and obtains scanned picture and record corresponding metal welding parameter, threedimensional model is handled and rebuild to the scanned picture information of acquisition, and carrying out model mechanics analysis to threedimensional model verifies.

Description

The three-dimensional appearance of metal welding seam internal flaw and the lossless detection method of stress characteristics
Technical field
The invention belongs to different-metal material welding structure detection technical fields, are related to one kind and are formed for dissimilar metal welding line The method that is detected of internal flaw, especially the three-dimensional appearance of the internal flaw and stress characteristics are carried out non-destructive testing.
Background technology
When metal welding seam, due to welding procedure, the welding region of metal is always inevitably generated various microcosmic Defect, wherein Micro porosity is major defect form present in welding structure, and these Micro porosities can cause answering for structure Power is concentrated, and under external load function, interior microscopic hole constantly develops structure, and can eventually lead to component and whole knot The destruction of structure.It is that Micro porosity is lacked to macrostructure that Micro porosity volume and position distribution, which all have randomness, evolution, Sunken multiple-scales fracture evolutionary process.Material often produces its macro property with discontinuity of the inside configuration on small scale Life significantly affects.Further, since the chemical reaction generated during different-metal material welding, exists not in dissimilar metal welding line Same compound, different physical properties generate tremendous influence to performance of the whole weld seam in mechanical property.
In order to accurately establish the threedimensional model of dissimilar metal welding line internal flaw, different technological parameter device to hole is studied Influence of the influence and hole of hole spatial distribution and hole three-dimensional configuration to whole weld properties, while distinguishing difference Weld influence of the compound to whole weld properties, it is necessary to develop a kind of novel detection means, can detect different The three-dimensional information of kind metal welding seam internal flaw, and can be analyzed under the premise of not destroying test specimen and obtain the mechanical property of sample.
Currently, for the lossless detection method of non-transparent metals substance, there are ultrasound examination, Magnetic testing, EDDY CURRENT The methods of, but these methods are in detection process, due to unconnectedness, material capability of metal welding seam internal flaw etc., The problem of influencing test result, causing testing result inaccurate or surface topography can only be detected;Traditional slice detection method, Accuracy of detection is high, but it has detection material the damage of unrepairable, and the time consumed needed for detection process is long, Er Qiexu A large amount of manpowers are wanted to work, furthermore, prodigious waste is also resulted in experiment material;Test specimen after detecting simultaneously can not be applied In other stress tests, there is tremendous influence to the research of research material defect and stress relation.It is detected by above-mentioned detection method Afterwards, then the three-dimensional model reconfiguration of dissimilar metal welding line is carried out, is analyzed for stress characteristics.In short, above-mentioned detection method exists not The problems such as feasible or needs more manual measurements operation longer times consume, and can not ensure the accuracy of model.
Invention content
For overcome the deficiencies in the prior art, it the present invention provides a kind of three-dimensional appearance of metal welding seam internal flaw and answers The lossless detection method of power feature, this method combination X ray computer layer scanning technology and finite element analysis technology, Ke Yi It does not destroy under conditions of test specimen, detects three-dimensional appearance, the stress characteristics of dissimilar metal welding line inner void defect, this method is also It can show that the spatial distribution of dissimilar metal welding line inner void defect, pore volume, porosity and pore-size distribution develop Rule and the topological performance in hole, such as connectivity, the information such as tortuosity.
To achieve the goals above, the technical solution adopted by the present invention is:A kind of three-dimensional shaped of metal welding seam internal flaw The lossless detection method of looks and stress characteristics, which is characterized in that include the following steps:
1. sample preparation:It is waited for according to the steel aluminum dissimilar metal welding Jing Guo laser welding under the conditions of experimental design acquisition different parameters Test specimen to be measured, is obtained the tests exemplar of required test position by test block by wire cutting, and the Parameter Conditions include welding speed Degree, bonding power, defocusing amount, protective gas;
2. scanning:It chooses the tests exemplar and carries out X-ray omnidirectional Recognition computed tomography, respectively writing scan The welding parameter of image and corresponding dissimilar metal;
3. information processing:Using software VG Studio MAX2.0 to step 2. in tomography information analyze, Internal flaw three-dimensional parameter information is obtained, the internal flaw three-dimensional parameter information includes three-dimensional apertures hole volume, porosity, hole ruler Degree distribution, three-dimensional hole spatial distribution and different-metal material welding parameter affecting laws;
4. information processing:It is analyzed for 3. information that step obtains using software VG Studio MAX2.0, xenogenesis Metal can form different metallic compounds in position while welding in the welding process, and the physical property of different metallic compounds Difference causes X-ray attenuation degree also different, after the information analysis of step 3., screen the different defects of welded seam area with Different metal compound extracts weld defect information, eliminates the interference that different metal compound obtains target information, then To the regularity of distribution of weld defect single piece of information;Weld defect information includes being obtained after software is analyzed about welded seam area About the information of defect and different metal compound, target information is then the information for weld defect;
5. model reconstruction:Using software VG Studio MAX2.0, to step, 2. the middle information obtained carries out threedimensional model weight It builds, obtains visual weld seam model;
6. stress analysis:The threedimensional model of reconstruct is imported into hypermesh softwares, utilizes difference in the welding region of acquisition The different physical characteristics of constituent carry out mesh generation and define substance physical characteristic, and utilize finite element analysis software Ansys carries out model mechanics analysis;
7. verification experimental verification:Above-mentioned experiment exemplar is subjected to traditional power such as stress stretching experiment, high cycle fatigue experiment in batches Experiment is learned, the reliability of finite element analysis is verified.
Further, the Parameter Conditions include speed of welding, bonding power, defocusing amount, protective gas, wherein welding Power selection range is 1200 watts~2000 watts, and speed of welding selection range is 15mm/s~45mm/s, defocusing amount selection range For -1mm~2mm.
Using the above scheme, the present invention can go out the three-dimensional appearance of dissimilar metal welding line internal flaw with non-destructive testing, can be with The integrality for ensureing test sample is conducive to the verification of later stage mechanical property.Meanwhile it avoiding test specimen test specimen and being sliced introduced damage Wound, ensure that the accuracy of test result.Further, it can not only obtain dissimilar metal welding line surface topography, can also obtain Go out the three-dimensional spatial distribution of weld seam internal flaw, pore volume, porosity and the topological in pore size distribution rule and hole Can, such as connectivity, the information such as tortuosity.Moreover, simultaneously can accurate reconstruction go out can be used for the three-dimensional visualization mould of finite element analysis Type is beneficial to further understand dissimilar metal welding line internal flaw three-dimensional appearance.Furthermore it can be before not damaging test sample It puts, obtains sample mechanical property, the manpower and materials consumed in experimentation and time is greatly saved, and pre- to establish the service life The influence relationship for surveying model, exploration weld seam internal flaw and mechanical property is laid a good foundation.
The invention will be further described below in conjunction with the accompanying drawings.
Description of the drawings
Attached drawing 1 is specific embodiment of the invention weld seam hole three-dimensionalreconstruction model.
Specific implementation mode
Specific embodiments of the present invention are the methods that the internal flaw formed for dissimilar metal welding line is detected, especially It is carried out non-destructive testing to the three-dimensional appearance and stress characteristics of the internal flaw.The detection method is mainly by X ray computer Tomography scanner, different-metal material welding sample, VG Studio MAX softwares, four part of ansys softwares composition;Wherein roentgenometer Calculation machine tomography scanner type photodetector is Y.XRD 0820, and detector cells number is 1024, and pixel number is 1024 × 1024.It is different Kind metal welding specimen shape is arbitrary, and for ordinary circumstance based on flat rectangular body, size should not be too big, because size is smaller, three The resolution ratio for tieing up reconstructed image is higher.Analysis software carries out data processing using VG Studio MAX2.0.Finite element analysis is soft Part carries out analyzing processing using hypermesh and ansys softwares.
In the following, illustrating dissimilar metal welding line internal flaw three-dimensional appearance and the stress characteristics detection side of the present invention in conjunction with table One embodiment of method.
For the present invention by taking steel aluminum dissimilar metal laser welding sample as an example, laser parameter is as shown in table 1, i.e., bonding power is chosen Ranging from 1200 watts~2000 watts, speed of welding selection range be 5mm/s~55mm/s, defocusing amount selection range be -1mm~ 2mm.According to above-mentioned laser weld parameters, 100 × 50 × 1 steel plate and aluminium sheet is respectively welded, obtains dissimilar metal welding line sample.
1 laser weld parameters of table test table
Said sample is cut into required size by wire cutting, X ray computer tomoscan is carried out and records to examination Sample welding parameter information.Above-mentioned tomography information is analyzed using software VG Studio MAX2.0, obtains three-dimensional apertures Hole volume, porosity, pore-size distribution, the affecting laws of three-dimensional hole spatial distribution and different-metal material welding parameter, such as 1 institute of table Show;The different constituents at each position of metal welding fabrication substance are distinguished, as shown in table 2, are obtained not by taking sample 1 as an example Same constituent after the influence that detect to weld defect of physical property difference for eliminating welding region different material, is broken to above-mentioned Layer scanning information carries out reconstructing three-dimensional model, obtains visual weld seam model, as shown in Figure 1.
2 chemical composition of table (%)
Cu Si Fe Zn Ti Mg Al
0.5 0.3 40 0.4 0.5 0.4 bal
The three-dimensional CAD model of reconstruct is imported into the softwares such as hypermesh, it is different using above-mentioned acquisition constituent region Physical property carries out mesh generation and defines substance physical characteristic;Model mechanics are carried out using finite element analysis softwares such as ansys Analysis obtains the mechanical property of weld seam, as shown in table 1.
The present invention is not limited in above-described embodiment and variation, but recorded model in the appended claims , it can be achieved that being the embodiment of variform in enclosing.Without departing from the spirit of the scope of the invention, those skilled in the art can do The deformation range arrived undoubtedly should also belong to the scope of protection of the present invention.

Claims (2)

1. a kind of three-dimensional appearance of metal welding seam internal flaw and the lossless detection method of stress characteristics, which is characterized in that including Following steps:
1. sample preparation:It is to be tested according to the steel aluminum dissimilar metal welding Jing Guo laser welding under the conditions of experimental design acquisition different parameters Test specimen to be measured, is obtained the tests exemplar of required test position by part by wire cutting, and the Parameter Conditions include speed of welding, weldering Connect power, defocusing amount, protective gas;
2. scanning:It chooses the tests exemplar and carries out X-ray omnidirectional Recognition computed tomography, respectively writing scan image With the welding parameter of corresponding dissimilar metal;
3. information processing:Using software VG Studio MAX2.0 to step 2. in tomography information analyze, obtain Internal flaw three-dimensional parameter information, the internal flaw three-dimensional parameter information include three-dimensional apertures hole volume, porosity, hole scale point The affecting laws of cloth, three-dimensional hole spatial distribution and different-metal material welding parameter;
4. information processing:It is analyzed for 3. information that step obtains using software VG Studio MAX2.0, dissimilar metal Different metallic compounds can be formed in position while welding in the welding process, and the physical property of different metallic compounds is not Together, cause X-ray attenuation degree also different, after the information analysis of step 3., screen the different defects of welded seam area with not Same metallic compound extracts weld defect information, eliminates the interference that different metal compound obtains target information, then obtains The regularity of distribution of weld defect single piece of information;
5. model reconstruction:Using software VG Studio MAX2.0, to step, 2. the middle information obtained carries out reconstructing three-dimensional model, Obtain visual weld seam model;
6. stress analysis:The threedimensional model of reconstruct is imported into hypermesh softwares, is formed using different in the welding region of acquisition The different physical characteristics of ingredient carry out mesh generation and simultaneously define substance physical characteristic, and using finite element analysis software ansys into Row model mechanics are analyzed;
7. verification experimental verification:Above-mentioned tests exemplar is carried out to stress stretching experiment and high cycle fatigue experiment in batches, verifies finite element The reliability of analysis.
2. the three-dimensional appearance of metal welding seam internal flaw according to claim 1 and the lossless detection method of stress characteristics, It is characterized in that:The Parameter Conditions include speed of welding, bonding power, defocusing amount, protective gas, wherein bonding power selects Ranging from 1200 watts~2000 watts are taken, speed of welding selection range is 15mm/s~45mm/s, and defocusing amount selection range is -1mm ~2mm.
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* Cited by examiner, † Cited by third party
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CN107478666B (en) * 2017-09-04 2020-12-11 北京大学口腔医学院 Nondestructive testing method for internal defects of porous material
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CN109916795A (en) * 2017-12-13 2019-06-21 重庆润泽医药有限公司 The lossless detection method of porous material percent opening based on industry CT
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CN109636799A (en) * 2018-12-25 2019-04-16 云峰核信科技(武汉)股份有限公司 A kind of weld seam check method, system, equipment
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CN111351810B (en) * 2020-03-30 2020-11-06 山东省分析测试中心 Analysis method for fracture failure behavior of metal with multi-scale defects
CN111462110B (en) * 2020-04-20 2021-04-13 广东利元亨智能装备股份有限公司 Welding seam quality detection method, device and system and electronic equipment
CN114280089B (en) * 2021-12-29 2023-11-10 福建省锅炉压力容器检验研究院 Thermal power generation key part weld stress testing device based on X-rays
CN116525041B (en) * 2023-04-28 2024-01-26 江南大学 Modeling method and performance prediction method for metal porous structure
CN116223224B (en) * 2023-05-08 2023-08-11 山东清洋新材料有限公司 Method for detecting influence of curing agent on mechanical properties of product based on image processing
CN116663190B (en) * 2023-06-06 2023-11-07 嘉丰盛精密电子科技(孝感)有限公司 Method for identifying splicing strength of stamping parts in shielding cover

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6137860A (en) * 1998-08-18 2000-10-24 Lockheed Martin Corporation Digital radiographic weld inspection system
CN101750034B (en) * 2008-12-11 2011-08-17 秦山第三核电有限公司 Dissimilar metal welding line ultrasonic creeping wave testing method
CN102157211B (en) * 2010-12-09 2013-01-16 华东理工大学 Assessment method for defects of welding joint area at piping safety end of pressure vessel of AP1000 nuclear reactor
CN104515786B (en) * 2015-01-08 2018-05-11 北京科技大学 The detection and analysis method that metal casting fatigue process internal flaw develops

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Application publication date: 20170531

Assignee: Pingyang Intelligent Manufacturing Research Institute of Wenzhou University

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Denomination of invention: Nondestructive testing method for three dimensional morphology and stress characteristics of internal defects in Metal Welds

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Record date: 20201122